Tremor control of structure with optimum positioning of magneto-rheological damper

Vidya S. Rao*, Kavyashree

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In construction sector natural calamities are considered as threat for the structure. During the natural calamities like Earthquake, tsunamis and cyclones, tremendous force hit the structure and damages it. During these hazardous situations the sensors incorporated may be dislocated or sometimes give the corrupted response which in turn may not be adequate to be used for the control of vibration of the structure. Therefore, an estimator is necessary to predict the actual response even in the failed condition of sensor. The Robust Proportional Integral Derivative control algorithm with Kalman observer is used to command the controlled voltage to the current driver. This controller uses estimated states of the system instead of measured states. Further the controller output is passed through magneto-rheological(MR) damper which serves as an actuator and plays an important role in mitigating the response of structure. The number of actuators and positioning of it is important in controlling the response of the structure and also in economic consideration. Simulation is conducted to find the optimum positioning of the magneto-rheological damper to predict the control force in controlling the tremor. The simulation is conducted by placing the MR damper in different floors and the force predicted by the damper and vibration mitigation of the structure is noted. The result depict that the placement of MR damper in the ground floor is most optimum position to control the tremor of the structure as it predicts the minimum force for mitigating the vibration of the structure.

Original languageEnglish
Pages (from-to)238-245
Number of pages8
JournalJournal of Advanced Research in Dynamical and Control Systems
Volume10
Issue number13 Special Issue
Publication statusPublished - 01-01-2018

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Engineering

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